Page 134 - IJOCTA-15-2
P. 134

Parallel late acceptance hill-climbing for binary-encoded optimization problems

             31. Aslan M, Pavone M. MBVS: a modified binary   41. Beasley JE. OR-Library: distributing test prob-
                vortex search algorithm for solving uncapacitated  lems by electronic mail.  J Oper Res Soc.
                facility location problem. Neural Comput Appl.    1990;41(11):1069-1072.
                2024;36(5):2573-2595.                             https://doi.org/10.1057/jors.1990.166
                https://doi.org/10.1007/s00521-023-09190-9    42. Wiegele A. Biq Mac Library-A collection of Max-
             32. Gao L, Zeng Y, Dong A. An ant colony algo-       Cut and quadratic 0-1 programming instances of
                rithm for solving Max-cut problem. Prog Nat Sci.  medium size. Preprint. 2007;51:112-127.
                2008;18(9):1173-1178.
                https://doi.org/10.1016/j.pnsc.2008.04.006
             33. Festa P, Pardalos PM, Resende MG, Ribeiro
                CC. Randomized heuristics for the MAX-CUT     Emrullah Sonu¸c is currently working as an Asso-
                problem. Optim Methods Softw. 2002;17(6):1033-  ciate Professor at Department of Computer Engineer-
                1058.                                         ing, Karabuk University in T¨urkiye. He is also a re-
                https://doi.org/10.1080/1055678021000090033   search associate at the Computational Optimization
             34. Kim YH, Yoon Y, Geem ZW. A comparison        and Learning (COL) Lab in the School of Computer
                study of harmony search and genetic algorithm  Science at the University of Nottingham, UK. He re-
                for the max-cut problem. Swarm Evol Comput.   ceived M.Sc. and Ph.D. degrees from the Department
                2019;44:130-135.                              of Computer Engineering, Karabuk University in 2012
                https://doi.org/10.1016/j.swevo.2018.01.004   and 2017, respectively. His research interests and ac-
             35. Mart´ı, R., Duarte A, Laguna M. Advanced scat-  tivities lie at the interface of computer science, artifi-
                ter search for the max-cut problem. INFORMS   cial intelligence, and operations research, focusing on
                J Comput. 2009;21(1):26-38.                   metaheuristics, parallel evolutionary algorithms and
                https://doi.org/10.1287/ijoc.1080.0275        ensemble learning models.
             36. Wu Q, Wang Y, L¨u, Z.. A tabu search based hy-  https://orcid.org/0000-0001-7425-6963
                brid evolutionary algorithm for the max-cut prob-
                                                                      ¨
                lem. Appl Soft Comput. 2015;34:827-837.       Ender Ozcan is a Professor of Computer Science
                https://doi.org/10.1016/j.asoc.2015.04.033    and Operational Research with the Computational Op-
             37. Kochenberger GA, Hao JK, L¨u, Z., Wang H,    timization and Learning (COL) Lab in the School of
                Glover F. Solving large scale max cut problems  Computer Science at the University of Nottingham,
                via tabu search. J Heuristics. 2013;19:565-571.  UK. He received his PhD from the Department of Com-
                https://doi.org/10.1007/s10732-011-9189-8     puter and Information Science at Syracuse Univer-
             38. Akan T, Agahian S, Dehkharghani R. Binbro: Bi-  sity, NY, USA in 1998. He worked as a lecturer in
                nary battle royale optimizer algorithm. Expert  the Department of Computer Engineering at Yeditepe
                Syst Appl. 2022;195:116599.                   University, Istanbul, Turkey from 1998-2007. He es-
                https://doi.org/10.1016/j.eswa.2022.116599    tablished and led the ARTIficial Intelligence research
             39. Zhu F, Shuai Z, Lu Y et al. oBABC: A one-    group from 2002. He served as the Deputy Head of
                                                                                                ¨
                dimensional binary artificial bee colony algorithm  the Department from 2004-2007. Prof Ozcan was ap-
                for binary optimization.  Swarm Evol Comput.  pointed as a senior research fellow in 2008 to the
                2024;87:101567.                               EPSRC funded LANCS initiative, which was one of
                https://doi.org/10.1016/j.swevo.2024.101567   the largest Science and Innovation Rewards given by
                ˇ
             40. Sevi´c, I., Jovanovic R, Uroˇsevi´c, D., Davidovi´c,  EPSRC (Engineering and Physical Sciences Research
                T. Fixed Set Search Applied to the Max-Cut    Council, UK). He has been an academic at the Univer-
                Problem. In: 2024 IEEE 8th Energy Conference  sity of Nottingham since then. He is currently Director
                (ENERGYCON). 2024; 1-6. IEEE.                 of the Faculty of Science Doctoral Training Centre in
                https://doi.org/10.1109/ENERGYCON58629.2024. Artificial Intelligence.
                10488777                                         https://orcid.org/0000-0003-0276-1391

                            An International Journal of Optimization and Control: Theories & Applications
                                             (https://accscience.com/journal/ijocta)









            This work is licensed under a Creative Commons Attribution 4.0 International License. The authors retain ownership of
            the copyright for their article, but they allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles
            in IJOCTA, so long as the original authors and source are credited. To see the complete license contents, please visit
            http://creativecommons.org/licenses/by/4.0/.



                                                           329
   129   130   131   132   133   134   135   136   137   138   139